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Ai For TKR VS Ukr by PLABAN NATH CHOWDHURY is a document available to read on EtoBox.
This study presents a machine learning model utilizing a voting mechanism to accurately determine candidates for total knee arthroplasty (TKA) and unicompartmental knee arthroplasty (UKA) in patients with knee osteoarthritis (KOA). The model achieved an impressive accuracy of 94.2% and an area under the receiver operating characteristic curve of 0.98, outperforming existing models by effectively leveraging multiple X-ray views. This approach has the potential to enhance surgical decision-making and improve
- Author
- PLABAN NATH CHOWDHURY
- Language
- EN